Manuel Masias Vergara

Cost-sensitive random forest with adaptive threshold optimization for imbalanced financial fraud detection

Financial transaction fraud detection is a challenging binary classification problem characterized by severe class imbalance, rare fraudulent cases, and asymmetric misclassification costs. In real-world banking systems, failing to detect fraudulent transactions can lead to substantial financial losses, whereas fals...